What problem does it solve? Founders and operators struggle to align demand with available people, equipment, space, inventory, and partner capacity without overspending or missing service targets. This Skill produces an evidence-backed capacity planning decision and operating plan with quantified constraints, risks, and monitoring. ## Core Features & Use Cases - Demand-to-Capacity Modeling: Forecasts demand by unit, translates it into workload, identifies effective capacity, and models variability and queues. - Constraint-Aware Decision Rules: Rejects or escalates options that breach hard constraints and ranks alternatives by risk-adjusted, confidence-weighted value. - Structured Output & Monitoring: Delivers a decision record, action plan with owners and approvals, KPIs (utilization, throughput, backlog, service level, cost per unit), and stop/scale conditions. - Use Case: A founder asks whether to hire two more support agents or add automation before a seasonal demand spike. The Skill forecasts workload, compares at least three feasible options against the counterfactual, and recommends the highest confidence-weighted option within cash and risk limits. ## Quick Start Use capacity planning to determine whether our current team and equipment can handle projected demand next quarter without exceeding our cash limits.
